Search Results - "Erdal, Barbaros Selnur"

Quantitative Computerized Two-Point Correlation Analysis of Lung CT Scans Correlates With Pulmonary Function in Pulmonary Sarcoidosis by Erdal, Barbaros Selnur, DDS, PhD, Crouser, Elliott D., MD, Yildiz, Vedat, MS, King, Mark A., MD, Patterson, Andrew T., BS, Knopp, Michael V., MD, PhD, Clymer, Bradley D., PhD

“…Background Chest CT scans are commonly used to clinically assess disease severity in patients presenting with pulmonary sarcoidosis. Despite their ability to…”
Get full text

Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI by Dikici, Engin, Ryu, John L., Demirer, Mutlu, Bigelow, Matthew, White, Richard D., Slone, Wayne, Erdal, Barbaros Selnur, Prevedello, Luciano M.

“…Brain Metastases (BM) complicate 20-40% of cancer cases. BM lesions can present as punctate (1 mm) foci, requiring high-precision Magnetic Resonance Imaging…”
Get full text

A Pilot Randomized Trial of Transdermal Nicotine for Pulmonary Sarcoidosis by Crouser, Elliott D., Smith, Rachel M., Culver, Daniel A., Julian, Mark W., Martin, Karen, Baran, Joanne, Diaz, Christopher, Erdal, Barbaros Selnur, Hade, Erinn M.

“…Tobacco smoking is associated with a reduced risk of developing sarcoidosis, and we previously reported that nicotine normalizes immune responses to…”
Get full text

Predicting Mental Decline Rates in Mild Cognitive Impairment From Baseline MRI Volumetric Data by Nguyen, Xuan V., Candemir, Sema, Erdal, Barbaros Selnur, White, Richard D., Prevedello, Luciano M.

“…PURPOSE:In mild cognitive impairment (MCI), identifying individuals at high risk for progressive cognitive deterioration can be useful for prognostication and…”
Get full text

Outcomes of benign breast papillomas diagnosed at image-guided vacuum-assisted core needle biopsy by Hawley, Jeffrey R, Lawther, Hannah, Erdal, Barbaros Selnur, Yildiz, Vedat O, Carkaci, Selin

“…Abstract Purpose To determine the upgrade rate of benign papillomas diagnosed at image-guided vacuum-assisted core needle biopsy (VACNB) and to compare our…”
Get full text

Pre-deployment assessment of an AI model to assist radiologists in chest X-ray detection and identification of lead-less implanted electronic devices for pre-MRI safety screening: realized implementation needs and proposed operational solutions by White, Richard D., Demirer, Mutlu, Gupta, Vikash, Sebro, Ronnie A., Kusumoto, Frederick M., Erdal, Barbaros Selnur

“…PurposeChest X-ray (CXR) use in pre-MRI safety screening, such as for lead-less implanted electronic device (LLIED) recognition, is common. To assist CXR…”
Get full text

Current State of Community-Driven Radiological AI Deployment in Medical Imaging (Preprint) by Gupta, Vikash, Erdal, Barbaros Selnur, Ramirez, Carolina, Floca, Ralf, Genereaux, Brad, Bryson, Sidney, Bridge, Christopher P, Kleesiek, Jens, Nensa, Felix, Braren, Rickmer, Younis, Khaled, Penzkofer, Tobias, Bucher, Andreas Michael, Qin, Ming Melvin, Bae, Gigon, Lee, Hyeonhoon, Cardoso, Jorge M, Ourselin, Sebastien, Kerfoot, Eric, Choudhury, Rahul, White, Richard D, Cook, Tessa, Bericat, David, Lungren, Matthew, Haukioja, Risto, Shuaib, Haris

Get full text

A multi-reconstruction study of breast density estimation using Deep Learning by Gupta, Vikash, Demirer, Mutlu, Maxwell, Robert W, White, Richard D, Erdal, Barbaros Selnur

“…Breast density estimation is one of the key tasks in recognizing individuals predisposed to breast cancer. It is often challenging because of low contrast and…”
Get full text

Integration and Implementation Strategies for AI Algorithm Deployment with Smart Routing Rules and Workflow Management by Erdal, Barbaros Selnur, Gupta, Vikash, Demirer, Mutlu, Fair, Kim H, White, Richard D, Blair, Jeff, Deichert, Barbara, Lafleur, Laurie, Qin, Ming Melvin, Bericat, David, Genereaux, Brad

“…This paper reviews the challenges hindering the widespread adoption of artificial intelligence (AI) solutions in the healthcare industry, focusing on computer…”
Get full text

De-identified multidimensional medical records for disease population demographics and image processing tools development by Erdal, Barbaros Selnur

“…Recently, The National Institute of Health (NIH) has outlined its scientific priorities in a strategic plan, "NIH Roadmap for Medical Research". In direct…”
Get full text

Constrained Generative Adversarial Network Ensembles for Sharable Synthetic Data Generation by Dikici, Engin, Prevedello, Luciano M, Bigelow, Matthew, White, Richard D, Erdal, Barbaros Selnur

“…The sharing of medical imaging datasets between institutions, and even inside the same institution, is limited by various regulations/legal barriers. Although…”
Get full text

Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application by Gupta, Vikash, Taylor, Clayton, Bonnet, Sarah, Prevedello, Luciano M, Hawley, Jeffrey, White, Richard D, Flores, Mona G, Erdal, Barbaros Selnur

“…Screening mammograms are a routine imaging exam performed to detect breast cancer in its early stages to reduce morbidity and mortality attributed to this…”
Get full text

Integrating AI into Radiology workflow: Levels of research, production, and feedback maturity by Dikici, Engin, Bigelow, Matthew, Prevedello, Luciano M, White, Richard D, Erdal, Barbaros Selnur

“…This report represents a roadmap for integrating Artificial Intelligence (AI)-based image analysis algorithms into existing Radiology workflows such that: (1)…”
Get full text

Current State of Community-Driven Radiological AI Deployment in Medical Imaging by Gupta, Vikash, Erdal, Barbaros Selnur, Ramirez, Carolina, Floca, Ralf, Jackson, Laurence, Genereaux, Brad, Bryson, Sidney, Bridge, Christopher P, Kleesiek, Jens, Nensa, Felix, Braren, Rickmer, Younis, Khaled, Penzkofer, Tobias, Bucher, Andreas Michael, Qin, Ming Melvin, Bae, Gigon, Lee, Hyeonhoon, Cardoso, M. Jorge, Ourselin, Sebastien, Kerfoot, Eric, Choudhury, Rahul, White, Richard D, Cook, Tessa, Bericat, David, Lungren, Matthew, Haukioja, Risto, Shuaib, Haris

“…Artificial Intelligence (AI) has become commonplace to solve routine everyday tasks. Because of the exponential growth in medical imaging data volume and…”
Get full text

Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI by Dikici, Engin, Ryu, John L, Demirer, Mutlu, Bigelow, Matthew, White, Richard D, Slone, Wayne, Erdal, Barbaros Selnur, Prevedello, Luciano M

“…Brain Metastases (BM) complicate 20-40% of cancer cases. BM lesions can present as punctate (1 mm) foci, requiring high-precision Magnetic Resonance Imaging…”
Get full text

Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning by Gupta1, Vikash, Roth, Holger, Buch3, Varun, Rockenbach, Marcio A. B. C, White, Richard D, Yang, Dong, Laur, Olga, Ghoshhajra, Brian, Dayan, Ittai, Xu, Daguang, Flores, Mona G, Erdal, Barbaros Selnur

“…The training of deep learning models typically requires extensive data, which are not readily available as large well-curated medical-image datasets for…”
Get full text

De-identified multidimensional medical records for disease population demographics and image processing tools development by Erdal, Barbaros Selnur

“…Recently, The National Institute of Health (NIH) has outlined its scientific priorities in a strategic plan, "NIH Roadmap for Medical Research". In direct…”
Get full text